Methods and Models in Mathematical Biology Deterministic and Stochastic Approaches

This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern bio...

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Detalles Bibliográficos
Autor principal: Müller, Johannes (-)
Autor Corporativo: SpringerLink (-)
Otros Autores: Kuttler, Christina
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg 2015.
Edición:1st ed
Colección:Lecture Notes on Mathematical Modelling in the Life Sciences.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32927046*spi
Descripción
Sumario:This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks, and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and  branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.
Descripción Física:XIII, 711 p., 239 il., 65 il. col
Formato:Forma de acceso: World Wide Web.
ISBN:9783642272516